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Pengze Li

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Open access Aug 2026

OntoCodex: a multi-agent biomedical ontology enrichment framework

Ontology enrichment is a critical but labor-intensive step in semantic knowledge representation. To address this challenge, we propose OntoCodex, a multi-agent framework that integrates large language models (LLMs), ontologies, curated knowledge sources, and standard vocabularies to support semi-automated ontology enri...

Jingna Feng, Yue Yu, Aaron Dong et al. · 0 citations
Jul 2026

PEARL: Auditable Repair for Scientific Reasoning Graph Extraction

Scientific Reasoning Graph Extraction (SRGE) aims to recover explicit links among observations, evidence, intermediate claims, and paper-level conclusions. LLMs can produce graph-like scientific explanations, but their outputs often mix malformed syntax, drifting edge labels, incorrectly oriented roots, and weak source...

Bo-Han Su, Pengze Li, Yuchen Lu et al. · 0 citations
#large language models Review Open access Sep 2026

Generative large language models in medicine: a scoping review of recent methodological advances

By tracing the evolutionary trajectories of these methodologies, this scoping review provides a mechanism-centered framework to inform responsible model development and deployment in medical settings, tailored to task complexity, data characteristics, and resource constraints.

Fang Li, Jian-Fu Li, Weiguo Cao et al. · 0 citations
#artificial intelligence Open access Aug 2026

MorphoGP: A Nonparametric Framework for Predicting Equilibrium Beach Profiles Under Tidal Influence

The prediction of equilibrium beach profiles (EBPs) under tidal influence is of fundamental importance for sustainable coastal development, informing shoreline protection strategies and managing coastal ecosystems under changing environmental conditions. However, it remains challenging due to the highly nonlinear inter...

Xi Wu, Yanqing Wei, Hang Yin et al. · 0 citations

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